How We Train Our Own AI for UFO Research
The data is abundant, the answers are few. To change this, we created an innovative research program that leverages Artificial Intelligence (AI) to collect, analyze, and evaluate testimonies and evidence regarding unexplained phenomena in the sky.
Qualitative Data
Bad or incomplete dataset = wrong results
AI "learns" from the data we give it. The clearer, more accurate, and more representative it is, the better it will be able to recognize patterns and make the right decisions.
Correct Labeling
Labeling is the language we use to communicate with AI.
Data needs clear labels for AI to understand what it is seeing or reading.
If an object, phenomenon, or sound has been correctly characterized, the model can learn to reliably distinguish it in the "real world."
Continuous Improvement
Every new fact is an opportunity to become better.
Το AI χρειάζεται επαναλαμβανόμενους κύκλους εκπαίδευσης, αξιολόγησης και προσαρμογής ώστε να γίνεται πιο έξυπνο και ακριβές με τον χρόνο.
Accuracy Check
What is not measured, is not improved.
It's not enough for AI to "learn" it must also prove that it learned correctly.
By testing on real or controlled data, we identify errors, false positive/negative predictions and improve the model.
Human Supervision
Artificial intelligence is a tool, not a replacement for our judgment.
Even the most advanced AI needs human judgment.
Supervision ensures that the model does not learn the wrong patterns and that its decisions are transparent, fair, and reliable.
Our goal
The most powerful element is the collaboration with citizens. Every new report or photo can be used (with permission) for further training. The model is constantly learning and getting smarter with each incident.
Our goal is to create an objective UFO research tool that can analyze massive data with scientific methodology, separate the unexplained from the explainable, and help bring UFO research to a new level of reliability and transparency.
Do you want to contribute to education? Upload your testimony or visual material here: https://www.grufon.org/report.
Features That Make Our AI Unique
Big Data Analysis
SCALABLE PLATFORM
Pattern and Anomaly Detection
PATTERN DETECTION
Incident Categorization
INC BASED
Continuous Learning from New Data
REAL WORLD DATA
Collaboration with researchers
COMMUNITY DRIVEN
Ethical Use
clear methods
Education in Numbers
10000K
TRAINING HOURS
500K
DATA
98%
IMPROVEMENT CYCLES
24/7
24-HOUR TRAINING